CN107368570A - Industrial crops pest and disease damage the expert system for diagnosis - Google Patents
Industrial crops pest and disease damage the expert system for diagnosis Download PDFInfo
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- CN107368570A CN107368570A CN201710567938.5A CN201710567938A CN107368570A CN 107368570 A CN107368570 A CN 107368570A CN 201710567938 A CN201710567938 A CN 201710567938A CN 107368570 A CN107368570 A CN 107368570A
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- 201000010099 disease Diseases 0.000 title claims abstract description 45
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 45
- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 43
- 238000003745 diagnosis Methods 0.000 title claims abstract description 28
- 244000068988 Glycine max Species 0.000 claims abstract description 7
- 235000010469 Glycine max Nutrition 0.000 claims abstract description 7
- 230000000153 supplemental effect Effects 0.000 claims abstract description 4
- 241000196324 Embryophyta Species 0.000 claims description 15
- 241000238631 Hexapoda Species 0.000 claims description 15
- 238000011160 research Methods 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 4
- 244000052769 pathogen Species 0.000 claims description 4
- 230000001717 pathogenic effect Effects 0.000 claims description 4
- 230000002265 prevention Effects 0.000 claims description 4
- 241000894007 species Species 0.000 claims description 4
- 238000013461 design Methods 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 description 7
- 210000000056 organ Anatomy 0.000 description 6
- 238000012271 agricultural production Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 208000024891 symptom Diseases 0.000 description 3
- 235000013311 vegetables Nutrition 0.000 description 3
- 235000017060 Arachis glabrata Nutrition 0.000 description 2
- 244000105624 Arachis hypogaea Species 0.000 description 2
- 235000010777 Arachis hypogaea Nutrition 0.000 description 2
- 235000018262 Arachis monticola Nutrition 0.000 description 2
- 235000016068 Berberis vulgaris Nutrition 0.000 description 2
- 241000335053 Beta vulgaris Species 0.000 description 2
- 240000008620 Fagopyrum esculentum Species 0.000 description 2
- 235000009419 Fagopyrum esculentum Nutrition 0.000 description 2
- 244000020551 Helianthus annuus Species 0.000 description 2
- 235000003222 Helianthus annuus Nutrition 0.000 description 2
- 235000004431 Linum usitatissimum Nutrition 0.000 description 2
- 240000006240 Linum usitatissimum Species 0.000 description 2
- 244000061176 Nicotiana tabacum Species 0.000 description 2
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 2
- 240000000528 Ricinus communis Species 0.000 description 2
- 235000004443 Ricinus communis Nutrition 0.000 description 2
- 244000000231 Sesamum indicum Species 0.000 description 2
- 235000003434 Sesamum indicum Nutrition 0.000 description 2
- 240000004922 Vigna radiata Species 0.000 description 2
- 235000010721 Vigna radiata var radiata Nutrition 0.000 description 2
- 235000011469 Vigna radiata var sublobata Nutrition 0.000 description 2
- 239000003905 agrochemical Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 235000020232 peanut Nutrition 0.000 description 2
- 238000007493 shaping process Methods 0.000 description 2
- 102000002322 Egg Proteins Human genes 0.000 description 1
- 108010000912 Egg Proteins Proteins 0.000 description 1
- 208000026097 Factitious disease Diseases 0.000 description 1
- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical class N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 210000004681 ovum Anatomy 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
- G06N5/025—Extracting rules from data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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- Mathematical Physics (AREA)
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- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Computational Linguistics (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
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Abstract
The invention discloses a kind of industrial crops pest and disease damage the expert system for diagnosis, including basic information module, the interior 71 kinds of pest and disease damages occurred provided with industrial crops, it is divided into soybean disease pest with other through making disease pest two parts;Supplemental functionality, including expert answers questions, visiting message board, Connection Module, user can be linked up by Connection Module and expert, realize the direct consulting of expert, it so as to obtain more directly and high-qualityly servicing, and can be collected by visiting message board to the opinions and suggestions of user, improve the system;Management module, by inputting manager's password, knowledge base is updated and added into edit pattern.The present invention, formula expert system is pointed out using image, have concurrently and inquire and browse function, power system capacity is moderate, and design science is reasonable, system be it is dynamic, can real-time update.
Description
Technical field
The present invention relates to agriculture field, and in particular to a kind of industrial crops pest and disease damage the expert system for diagnosis.
Background technology
According to the related agricultural expert system reported, being related to the expert system in terms of cultivated plant harmful organism diagnosis and treatment has
Inquire and browse formula system, image points out formula system and rule-based three kinds of diagnosis and treatment formula system.
Enter at present the practical stage and therewith it is similar it is rarely seen have " vegetable insect disease auxiliary diagnosis with preventing and treating system ", it has
There is following objective shortcoming:1st, knowledge base is huge.Include 2167 kinds of pest and disease damages of the 103 kinds of vegetables of class of melon, solanaceous vegetables etc. 15, often
Kind pest and disease damage has 5~30 width images and large amount of text information.So huge database space-consuming is big, and it is fast to be also unfavorable for user
Fast diagnosis and treatment harmful organism.2nd, image and text message are miscellaneous, and user's specific aim is not strong.By the image and text message of all collections
Using and be placed on the same page, cause for example agrotechnical member of all types of user, peasant household, plant protection scientific research personnel and professional and technical personnel not
The knowledge point required for oneself can be quickly found.3rd, threshold is higher.Root, stem, leaf plant organ are first distinguished when such as diagnosing disease,
The professional knowledges such as ovum, larva, adult can be distinguished when diagnosing insect, low-end subscribers such as peasant household there may be certain difficulty.4th, it is quiet
State system.The change of pest and disease damage and agricultural chemicals used and at any time more new content can not be gone up according to production.
The content of the invention
To solve the above problems, the invention provides a kind of industrial crops pest and disease damage the expert system for diagnosis, image is employed
Formula system is pointed out, has the function of inquiring and browsing concurrently, has that accuracy rate of diagnosis is high, the ageing good, threshold of diagnosis and treatment is low and user is more etc.
Advantage.
To achieve the above object, the technical scheme taken of the present invention is:
Industrial crops pest and disease damage the expert system for diagnosis, including:
Basic information module, the interior 70 kinds of pest and disease damages occurred provided with industrial crops, it is divided into soybean disease pest with other through malingering
Worm two parts;Selected image for industrial crops pest and disease damage it is the most typical, can the Accurate Diagnosis harmful organism ecology
Image is disease for the classical symptom figure most on regular incidence organ, and insect system is insect state and Damage pattern figure;User passes through image
Comparison determine Pest Species, shorten Diagnostic Time, improve accuracy rate of diagnosis, while plant organ need not be distinguished
Or the insect worm phase enters back into ecological image district, reduces using threshold.
Supplemental functionality, including expert answers questions, visiting message board, Connection Module, user can by Connection Module, such as
The forms such as phone, QQ, wechat, upload image and expert link up, and realize the direct consulting of expert, more directly and high-quality so as to obtain
Ground service, and can be collected by visiting message board to the opinions and suggestions of user, improve the system;
Management module, by inputting manager's password, knowledge base is updated and added into edit pattern.
Wherein, the enlarged version of related pest and disease damage typical image is provided with the disease ecological map picture, and has the identification of this kind
The link of the contents such as feature, pests occurrence rule, prevention and controls, agrotechnical member and peasant household's guiding agricultural production for production line use.
Wherein, " more " module, including the scientific name of this kind of harmful organism, English are additionally provided with the basic information module
The text messages such as name, occurrence characteristic, pathogen and the form in the classification position of insect and other periods and image, newly send out species
Bibliography etc., used for plant protection scientific research personnel and professional and technical personnel.It is easy to different user fast graph text information layered shaping
Speed finds each required knowledge point, improves the speed of diagnosis.
The invention has the advantages that:
1st, formula expert system is pointed out using image, has concurrently and inquire and browse function.Overcome regular diagnosis and treatment formula system uses text
The complicated biomorph of word description and threshold is too high, layman can not use, the used time, long multi-step just obtained result, mould
The problems such as pasting Query Result inaccuracy.
2nd, power system capacity is moderate.Soybean and sunflower, peanut, sesame, beet, tobacco, castor-oil plant including the main cultivation in Jilin Province,
71 kinds of pest and disease damages that the industrial crops such as flax, buckwheat, mung bean occur.Both the upper pest and disease damage diagnosis and treatment need of industrial crops production can have been met
Will, it is excessive and influence the effective use of user to be unlikely to capacity again.
3rd, system design is scientific and reasonable.What every kind of crop was occurred has the typical field ecology of direct relation with Accurate Diagnosis
Image is placed on homepage face, and the demand according to different user to plant protection knowledge, and graph text information is carried out hierarchical design, makes user's height
Efficient find required knowledge point.
4th, knowledge base graph text information quality is high, has entirely autonomous property right.All images of lane database be author for many years
Field is shot, and text message is mostly the practice gained of research and production for many years.Selection is scientific and reasonable, meets environment protective plant protecting and can
Continue plant protection characteristic, Prevention Technique Pesticides are the kind that country registers now.
5th, system is dynamic, can real-time update.Knowledge base can update and add according to production, scientific research at any time.And
User can be linked up by the modes such as phone, QQ, E-mail, wechat and expert, by language, word, upload the forms such as image to
Expert submits knotty problem, quickly to solve Plant Protection, improves the speed and quality of system service.
6th, system running environment is simple, can be used with smart mobile phone.Completed without Login Register open.Computer level
Low person can be used.It also is available for self-teaching and the training function of related personnel.
Brief description of the drawings
Fig. 1 is the system block diagram of industrial crops pest and disease damage the expert system for diagnosis of the embodiment of the present invention.
Embodiment
In order that objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further
Describe in detail.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to limit this hair
It is bright.
As shown in figure 1, the embodiments of the invention provide industrial crops pest and disease damage the expert system for diagnosis, including:
Basic information module, interior soybean and sunflower provided with the main cultivation in Jilin Province, peanut, sesame, beet, tobacco, castor-oil plant,
71 kinds of pest and disease damages that the industrial crops such as flax, buckwheat, mung bean occur, it is divided into soybean disease pest with other through making disease pest two parts;Institute
State soybean disease pest, other include insect system and its disease ecological map picture through making disease pest, the disease ecological map picture is made to be economical
The typical case of the most typical of thing pest and disease damage, the ecological map picture i.e. plant of the harmful organism that can most make a definite diagnosis most on regular incidence organ
Symptom figure, the insect system are insect state and evil shape figure;User determines Pest Species by comparing, when shortening diagnosis
Between, accuracy rate of diagnosis is improved, while plant organ need not be distinguished or the insect worm phase enters back into ecological image district, reduce use
Threshold.
After this specific implementation system is opened, browsed by clicking on full storehouse into the knowledge base page, to be above-mentioned on the left of the interface
Two parts catalogue, it is remaining most of for all industrial crops pest and disease damages the most typical, the harmful organism that can most make a definite diagnosis
Ecological map picture, i.e. disease are classical symptom figure of the plant most on regular incidence organ, insect system is insect state and Damage pattern figure.Point
Hit in the interface of picture entrance, have the enlarged version of pest and disease damage typical image, and have the identification feature, pests occurrence rule, preventing and treating of this kind
The contents such as method, agrotechnical member and peasant household's guiding agricultural production for production line use;Enter another interface by " more ",
This part includes scientific name, English name, occurrence characteristic, pathogen and the classification position of insect of this kind of harmful organism and other periods
The text message such as form and image, bibliography etc. of new hair species, used for plant protection scientific research personnel and professional and technical personnel.
The enlarged version of related pest and disease damage typical image is provided with the disease ecological map picture, and have this kind identification feature,
The link of the contents such as pests occurrence rule, prevention and controls, agrotechnical member and peasant household's guiding agricultural production for production line use.
" more " module, including the scientific name of this kind of harmful organism, English name, discovery are additionally provided with the basic information module
The text messages such as process and occurrence characteristic, the classification position of pathogen and insect and the form in other periods and image, new hair kind
Bibliography of class etc., used for plant protection scientific research personnel and professional and technical personnel.Graph text information layered shaping is easy to different use
Family quickly finds each required knowledge point, improves the speed of diagnosis.
Supplemental functionality, including expert answers questions, visiting message board, Connection Module, user can by Connection Module, such as
The forms such as phone, QQ, wechat, upload image and expert link up, and realize the direct consulting of expert, more directly and high-quality so as to obtain
Ground service, and can be collected by visiting message board to the opinions and suggestions of user, improve the system;
Management module, by inputting manager's password, knowledge base is updated and added into edit pattern.With having
The evil continuous change of biological species, the further investigation of pests occurrence rule and prophylactico-therapeutic measures, the renewal of agricultural chemicals and field ecological map picture are not
Disconnected collection etc., by constantly improve, these can be completed by back-stage management for the quality and quantity of knowledge base graph text information.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (3)
1. industrial crops pest and disease damage the expert system for diagnosis, it is characterised in that including:
Basic information module, the interior 71 kinds of pest and disease damages occurred provided with industrial crops, it is divided into soybean disease pest with other through making disease pest two
Part;
Supplemental functionality, including expert answers questions, visiting message board, contact method, user can be linked up by itself and expert, be realized
With the direct consulting of expert, so as to obtain more directly and high-qualityly servicing, and can be collected by visiting message board to user's
Opinions and suggestions, improve the system;
Management module, by inputting manager's password, knowledge base is updated and added into edit pattern.
2. industrial crops pest and disease damage the expert system for diagnosis as claimed in claim 1, it is characterised in that the disease ecological map picture
The interior enlarged version provided with related pest and disease damage typical image, and have the identification feature, pests occurrence rule, the chain of prevention and controls content of this kind
Connect.
3. industrial crops pest and disease damage the expert system for diagnosis as claimed in claim 1, it is characterised in that the basic information module
Inside it is additionally provided with " more " module, including the scientific name of this kind of harmful organism, English name, occurrence characteristic, pathogen and the classification of insect
The bibliography of the form text message and image in status and other periods, new hair species, for plant protection scientific research personnel and professional skill
Art librarian use.
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CN201710567938.5A CN107368570A (en) | 2017-07-07 | 2017-07-07 | Industrial crops pest and disease damage the expert system for diagnosis |
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CN201710567938.5A CN107368570A (en) | 2017-07-07 | 2017-07-07 | Industrial crops pest and disease damage the expert system for diagnosis |
Publications (1)
Publication Number | Publication Date |
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CN107368570A true CN107368570A (en) | 2017-11-21 |
Family
ID=60306754
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CN201710567938.5A Pending CN107368570A (en) | 2017-07-07 | 2017-07-07 | Industrial crops pest and disease damage the expert system for diagnosis |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116206202A (en) * | 2023-02-21 | 2023-06-02 | 北京甲板智慧科技有限公司 | Forestry plant diseases and insect pests intelligent monitoring management system based on AI automatic identification |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016083910A1 (en) * | 2014-11-27 | 2016-06-02 | Freezanz System Srl Unipersonale | Portable apparatus for pest control and protection of areas from the presence of insects |
CN106503785A (en) * | 2015-09-05 | 2017-03-15 | 张学 | A kind of agricultural insect pest's intelligent monitor system |
-
2017
- 2017-07-07 CN CN201710567938.5A patent/CN107368570A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016083910A1 (en) * | 2014-11-27 | 2016-06-02 | Freezanz System Srl Unipersonale | Portable apparatus for pest control and protection of areas from the presence of insects |
CN106503785A (en) * | 2015-09-05 | 2017-03-15 | 张学 | A kind of agricultural insect pest's intelligent monitor system |
Non-Patent Citations (1)
Title |
---|
谢艳新等: "基于ASP.NET的吉林省病虫害专家诊治系统开发", 《农业网络信息》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116206202A (en) * | 2023-02-21 | 2023-06-02 | 北京甲板智慧科技有限公司 | Forestry plant diseases and insect pests intelligent monitoring management system based on AI automatic identification |
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Application publication date: 20171121 |